Federated Quantum Neural Network with Quantum Teleportation for Resource Optimization in Future Wireless Communication-Reference-Cited by-同舟云学术

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Federated Quantum Neural Network with Quantum Teleportation for Resource Optimization in Future Wireless Communication

Published:2023 Issue: Volume: Page:1-16
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Narottama Bhaskara¹^ORCID,Shin Soo Young²^ORCID

Affiliation:

1. Bhaskara Narottama is with the Institut National de la Recherche Scientifique (INRS), University of Quebec, Montreal, QC, Canada

2. WENS Laboratory, Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea

Funder

Institute of Information and communications Technology Planning and Evaluation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/4356907/10138114.pdf?arnumber=10138114

Reference69 articles.

1. On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures

2. Qiskit: An open-source framework for quantum computing;abraham,2019

3. Distributed Federated Learning for Ultra-Reliable Low-Latency Vehicular Communications

4. Deep Learning for SVD and Hybrid Beamforming

5. Learnability of Quantum Neural Networks

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quantum-empowered federated learning and 6G wireless networks for IoT security: Concept, challenges and future directions;Future Generation Computer Systems;2024-11

2. Quantum Channel Optimization: Integrating Quantum-Inspired Machine Learning With Genetic Adaptive Strategies;IEEE Access;2024

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